Expert Cloud Automation Developer

We are looking for an expert-level Cloud Automation Developer to contribute to the design and delivery of reusable Azure platform products. The mission combines cloud architecture, Terraform, Infrastructure as Code, CI/CD, security, governance, APIs and software development for an enterprise-scale self-service cloud platform.

The ideal profile has at least ten years of relevant experience and remains hands-on across backend services, REST APIs and web or full-stack applications. Strong Azure and Terraform expertise is essential, as well as experience integrating platforms such as GitHub, ServiceNow and identity services. Profiles focused only on Java development, infrastructure architecture or DevOps pipelines will not be suitable. The target profile must combine advanced programming capability with cloud automation and platform engineering expertise.

About the Project

Cloud Services is advancing the platform through a new generation of cloud automation, self-service capabilities, and platform engineering products. The aim is to give application teams a secure, governed, and streamlined way to consume cloud services, while reducing operational complexity and accelerating delivery.

As part of the Platform Reliability and Public Cloud Services organization, the Cloud Automation Developer will help evolve the EasyCloud program. The role will contribute to the design and implementation of services that automate the provisioning, configuration, governance, and lifecycle management of Azure resources. By applying modern platform engineering practices, EasyCloud supports broader cloud adoption, improved operational efficiency, and secure, governed access to cloud capabilities.

The role combines software, cloud, and platform engineering to deliver strategic products for teams across global enterprise. This includes reusable cloud services, APIs, portals, automation workflows, and deployment patterns that simplify infrastructure consumption for hundreds of application teams. Solutions will integrate Azure with platforms and services such as GitHub, ServiceNow, identity services, and Infrastructure as Code frameworks, with security, reliability, and compliance built in.

The position offers the opportunity to work with enterprise-scale Azure environments and contribute to cloud automation, software development, DevOps, and advanced platform engineering practices within a global Cloud Services organization. It must demonstrate senior knowledge and proficiency around the requested skills together with work experience (min 10 years) in an international company environment.

Main Responsibilities

The objective is to design, deliver, and continuously improve secure, reusable cloud automation products that make it easier for application teams to provision, configure, and operate cloud resources and services. Deliverables should combine infrastructure automation with full-stack software capabilities and be production-ready, maintainable, tested, observable, and aligned with security and governance requirements.

The role requires advanced proficiency in Microsoft Azure and public-cloud architecture, Terraform and Infrastructure as Code, CI/CD, cloud security and identity, platform and API integration, automated testing, scripting, and production operations. Expert proficiency is expected in full-stack software development, spanning backend services and REST APIs as well as frontend applications built with JavaScript or TypeScript and frameworks such as React, Angular, or Vue.

Deliverables:

• Reusable Infrastructure as Code modules, templates, and workflows for provisioning and lifecycle management of Azure resources and shared cloud services.
  
• Full-stack self-service applications and supporting APIs that simplify cloud consumption and recurring operational tasks, integrating with relevant cloud, identity, GitHub, and ServiceNow services.
  
• Automated CI/CD workflows to build, validate, package, and deploy infrastructure and application changes consistently across environments.
  
• Automated functional, regression, and deployment tests for software, APIs, infrastructure modules, and deployed cloud services.
  
• Security and governance capabilities integrated into delivery patterns, including identity and access management, policy enforcement, secrets handling, and auditability.
  
• Operational readiness built into delivered solutions, including monitoring, logging, alerting, documentation, and support or handover materials.
  
• Technical designs and implementation guidance that promote reuse, maintainability, and adoption by platform and application teams.
  
• Recommendations and implemented improvements that reduce manual effort, operational complexity, and time required to deliver cloud capabilities.
  
  

Requirements

• Microsoft Azure and public-cloud architecture: Designs and delivers secure, governed Azure solutions across cloud services and workloads.
  
• Infrastructure as Code and cloud automation (Terraform): Builds reusable modules and automation for repeatable provisioning, configuration, and lifecycle management.
  
• CI/CD and DevOps workflows (GitHub Actions or equivalent): Designs reliable pipelines for validating and deploying infrastructure and software across environments.
  
• Full-stack software development (Java/Spring, REST APIs, JavaScript/TypeScript, React, Angular, or Vue): Delivers and supports maintainable backend services and frontend applications.
  
• Cloud security, identity, and governance: Applies access controls, policy, secrets management, and audit requirements in cloud solutions.
  
• API and platform integration (Azure, GitHub, ServiceNow, identity services): Integrates services securely and builds dependable automation across platform boundaries.
  
• Automated testing and quality engineering: Creates functional, regression, and deployment tests for applications, APIs, infrastructure, and cloud services.
  
• Scripting and operational automation (PowerShell or equivalent): Automates recurring operational tasks and integrates cloud services through scripts and APIs.
  
• Monitoring and production operations: Builds observability into services and supports reliable production operation and lifecycle management.
  
• Containers and Kubernetes (AKS): Understands deployment and operational fundamentals for containerized workloads.